{"id":"https://openalex.org/W4389364077","doi":"https://doi.org/10.1145/3632754.3632940","title":"On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat","display_name":"On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4389364077","doi":"https://doi.org/10.1145/3632754.3632940"},"language":"en","primary_location":{"id":"doi:10.1145/3632754.3632940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632754.3632940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.01760","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083237271","display_name":"Olivier Jeunen","orcid":"https://orcid.org/0000-0001-6256-5814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olivier Jeunen","raw_affiliation_strings":["ShareChat, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-6256-5814","affiliations":[{"raw_affiliation_string":"ShareChat, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092492046","display_name":"Hitesh Sagtani","orcid":"https://orcid.org/0009-0003-6995-1912"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hitesh Sagtani","raw_affiliation_strings":["ShareChat, India"],"raw_orcid":"https://orcid.org/0009-0003-6995-1912","affiliations":[{"raw_affiliation_string":"ShareChat, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030152470","display_name":"H. Doi","orcid":"https://orcid.org/0009-0006-5899-9832"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Himanshu Doi","raw_affiliation_strings":["ShareChat, India"],"raw_orcid":"https://orcid.org/0009-0006-5899-9832","affiliations":[{"raw_affiliation_string":"ShareChat, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065572652","display_name":"Rasul Karimov","orcid":"https://orcid.org/0009-0008-1742-2388"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rasul Karimov","raw_affiliation_strings":["ShareChat, India"],"raw_orcid":"https://orcid.org/0009-0008-1742-2388","affiliations":[{"raw_affiliation_string":"ShareChat, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093427211","display_name":"Neeti Pokharna","orcid":"https://orcid.org/0009-0003-7089-1515"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neeti Pokharna","raw_affiliation_strings":["ShareChat, India"],"raw_orcid":"https://orcid.org/0009-0003-7089-1515","affiliations":[{"raw_affiliation_string":"ShareChat, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093427212","display_name":"Danish Kalim","orcid":"https://orcid.org/0009-0004-0944-262X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Danish Kalim","raw_affiliation_strings":["ShareChat, India"],"raw_orcid":"https://orcid.org/0009-0004-0944-262X","affiliations":[{"raw_affiliation_string":"ShareChat, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090857651","display_name":"Aleksei Ustimenko","orcid":"https://orcid.org/0009-0006-4942-7779"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksei Ustimenko","raw_affiliation_strings":["ShareChat, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0006-4942-7779","affiliations":[{"raw_affiliation_string":"ShareChat, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066445602","display_name":"C. Green","orcid":"https://orcid.org/0009-0009-8737-6230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher Green","raw_affiliation_strings":["ShareChat, USA"],"raw_orcid":"https://orcid.org/0009-0009-8737-6230","affiliations":[{"raw_affiliation_string":"ShareChat, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018503243","display_name":"Rishabh Mehrotra","orcid":"https://orcid.org/0000-0002-0836-4605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rishabh Mehrotra","raw_affiliation_strings":["ShareChat, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-0836-4605","affiliations":[{"raw_affiliation_string":"ShareChat, United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018244514","display_name":"Wenzhe Shi","orcid":"https://orcid.org/0000-0002-9750-6379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenzhe Shi","raw_affiliation_strings":["ShareChat, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9750-6379","affiliations":[{"raw_affiliation_string":"ShareChat, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.656,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88130393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8129507303237915},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7610393762588501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6178491115570068},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6119424104690552},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6116692423820496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6028331518173218},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5895012617111206},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5597530603408813},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5363662838935852},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5233518481254578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129507303237915},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7610393762588501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6178491115570068},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6119424104690552},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6116692423820496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6028331518173218},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5895012617111206},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5597530603408813},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5363662838935852},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5233518481254578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3632754.3632940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632754.3632940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2312.01760","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.01760","pdf_url":"https://arxiv.org/pdf/2312.01760","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.01760","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.01760","pdf_url":"https://arxiv.org/pdf/2312.01760","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389364077.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1561650654","https://openalex.org/W1969147614","https://openalex.org/W2047952076","https://openalex.org/W2076618162","https://openalex.org/W2128877075","https://openalex.org/W2130618701","https://openalex.org/W2132324454","https://openalex.org/W2143331230","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2562066766","https://openalex.org/W2593507512","https://openalex.org/W2594696540","https://openalex.org/W2741497758","https://openalex.org/W2768348081","https://openalex.org/W2770285862","https://openalex.org/W2785013514","https://openalex.org/W2809290718","https://openalex.org/W2898227265","https://openalex.org/W2913340405","https://openalex.org/W2951611179","https://openalex.org/W2952373945","https://openalex.org/W2962914733","https://openalex.org/W2963921057","https://openalex.org/W2964022491","https://openalex.org/W2972520532","https://openalex.org/W2973172293","https://openalex.org/W2987201163","https://openalex.org/W3009308245","https://openalex.org/W3023045848","https://openalex.org/W3080077280","https://openalex.org/W3081125651","https://openalex.org/W3093945404","https://openalex.org/W3129868498","https://openalex.org/W3133226988","https://openalex.org/W3153687269","https://openalex.org/W3216660278","https://openalex.org/W4226090790","https://openalex.org/W4290827187","https://openalex.org/W4296415418","https://openalex.org/W4302313152","https://openalex.org/W4372283338","https://openalex.org/W4385374446","https://openalex.org/W4399647672","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2106071040","https://openalex.org/W4312133475","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987"],"abstract_inverted_index":{"Practitioners":[0],"who":[1],"wish":[2],"to":[3,13,18,26,65,87],"build":[4],"real-world":[5],"applications":[6],"that":[7,74],"rely":[8],"on":[9,32,76,89],"ranking":[10],"models,":[11],"need":[12],"decide":[14,88],"which":[15],"modelling":[16,91],"paradigm":[17],"follow.":[19],"This":[20],"is":[21],"not":[22],"an":[23],"easy":[24],"choice":[25],"make,":[27],"as":[28],"the":[29,57],"research":[30],"literature":[31],"this":[33],"topic":[34],"has":[35,62],"been":[36],"shifting":[37],"in":[38],"recent":[39,69],"years.":[40],"In":[41],"particular,":[42],"whilst":[43],"Gradient":[44],"Boosted":[45],"Decision":[46],"Trees":[47],"(GBDTs)":[48],"have":[49],"reigned":[50],"supreme":[51],"for":[52],"more":[53],"than":[54],"a":[55,90],"decade,":[56],"flexibility":[58],"of":[59],"neural":[60],"networks":[61],"allowed":[63],"them":[64],"catch":[66],"up,":[67],"and":[68],"works":[70],"report":[71],"accuracy":[72,85],"metrics":[73,86],"are":[75],"par.":[77],"Nevertheless,":[78],"practical":[79],"systems":[80],"require":[81],"considerations":[82],"beyond":[83],"mere":[84],"approach.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}